{"id":"https://openalex.org/W2946691654","doi":"https://doi.org/10.3390/a12050107","title":"Pruning Optimization over Threshold-Based Historical Continuous Query","display_name":"Pruning Optimization over Threshold-Based Historical Continuous Query","publication_year":2019,"publication_date":"2019-05-19","ids":{"openalex":"https://openalex.org/W2946691654","doi":"https://doi.org/10.3390/a12050107","mag":"2946691654"},"language":"en","primary_location":{"id":"doi:10.3390/a12050107","is_oa":true,"landing_page_url":"https://doi.org/10.3390/a12050107","pdf_url":"https://www.mdpi.com/1999-4893/12/5/107/pdf","source":{"id":"https://openalex.org/S190629608","display_name":"Algorithms","issn_l":"1999-4893","issn":["1999-4893"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Algorithms","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1999-4893/12/5/107/pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5086121472","display_name":"Jiwei Qin","orcid":"https://orcid.org/0000-0001-7023-2630"},"institutions":[{"id":"https://openalex.org/I2800710378","display_name":"Naval University of Engineering","ror":"https://ror.org/056vyez31","country_code":"CN","type":"education","lineage":["https://openalex.org/I2800710378"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiwei Qin","raw_affiliation_strings":["College of Electronic Engineering, Naval University of Engineering, Wuhan 430033, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Electronic Engineering, Naval University of Engineering, Wuhan 430033, China","institution_ids":["https://openalex.org/I2800710378"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103482432","display_name":"Liangli Ma","orcid":null},"institutions":[{"id":"https://openalex.org/I2800710378","display_name":"Naval University of Engineering","ror":"https://ror.org/056vyez31","country_code":"CN","type":"education","lineage":["https://openalex.org/I2800710378"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Liangli Ma","raw_affiliation_strings":["College of Electronic Engineering, Naval University of Engineering, Wuhan 430033, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Electronic Engineering, Naval University of Engineering, Wuhan 430033, China","institution_ids":["https://openalex.org/I2800710378"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5073871761","display_name":"Qing Liu","orcid":"https://orcid.org/0000-0002-3546-9832"},"institutions":[{"id":"https://openalex.org/I2800710378","display_name":"Naval University of Engineering","ror":"https://ror.org/056vyez31","country_code":"CN","type":"education","lineage":["https://openalex.org/I2800710378"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qing Liu","raw_affiliation_strings":["College of Electronic Engineering, Naval University of Engineering, Wuhan 430033, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Electronic Engineering, Naval University of Engineering, Wuhan 430033, China","institution_ids":["https://openalex.org/I2800710378"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5103482432"],"corresponding_institution_ids":["https://openalex.org/I2800710378"],"apc_list":{"value":1400,"currency":"CHF","value_usd":1515},"apc_paid":{"value":1400,"currency":"CHF","value_usd":1515},"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.04186217,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"12","issue":"5","first_page":"107","last_page":"107"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10757","display_name":"Geographic Information Systems Studies","score":0.9925000071525574,"subfield":{"id":"https://openalex.org/subfields/3305","display_name":"Geography, Planning and Development"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T13282","display_name":"Automated Road and Building Extraction","score":0.9785000085830688,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.832369327545166},{"id":"https://openalex.org/keywords/pruning","display_name":"Pruning","score":0.7193466424942017},{"id":"https://openalex.org/keywords/tree-traversal","display_name":"Tree traversal","score":0.6913821697235107},{"id":"https://openalex.org/keywords/minimum-bounding-box","display_name":"Minimum bounding box","score":0.5309471487998962},{"id":"https://openalex.org/keywords/result-set","display_name":"Result set","score":0.5184082984924316},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.49249085783958435},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4694119393825531},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.45381399989128113},{"id":"https://openalex.org/keywords/query-optimization","display_name":"Query optimization","score":0.4394412338733673},{"id":"https://openalex.org/keywords/bounding-overwatch","display_name":"Bounding overwatch","score":0.4181165099143982},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3276897668838501},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3224495053291321},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.07802599668502808}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.832369327545166},{"id":"https://openalex.org/C108010975","wikidata":"https://www.wikidata.org/wiki/Q500094","display_name":"Pruning","level":2,"score":0.7193466424942017},{"id":"https://openalex.org/C140745168","wikidata":"https://www.wikidata.org/wiki/Q1210082","display_name":"Tree traversal","level":2,"score":0.6913821697235107},{"id":"https://openalex.org/C147037132","wikidata":"https://www.wikidata.org/wiki/Q6865426","display_name":"Minimum bounding box","level":3,"score":0.5309471487998962},{"id":"https://openalex.org/C4969071","wikidata":"https://www.wikidata.org/wiki/Q7316353","display_name":"Result set","level":3,"score":0.5184082984924316},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.49249085783958435},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4694119393825531},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.45381399989128113},{"id":"https://openalex.org/C157692150","wikidata":"https://www.wikidata.org/wiki/Q2919848","display_name":"Query optimization","level":2,"score":0.4394412338733673},{"id":"https://openalex.org/C63584917","wikidata":"https://www.wikidata.org/wiki/Q333286","display_name":"Bounding overwatch","level":2,"score":0.4181165099143982},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3276897668838501},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3224495053291321},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.07802599668502808},{"id":"https://openalex.org/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/a12050107","is_oa":true,"landing_page_url":"https://doi.org/10.3390/a12050107","pdf_url":"https://www.mdpi.com/1999-4893/12/5/107/pdf","source":{"id":"https://openalex.org/S190629608","display_name":"Algorithms","issn_l":"1999-4893","issn":["1999-4893"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Algorithms","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:8d6491861a4047cd855991ea05dd7d48","is_oa":false,"landing_page_url":"https://doaj.org/article/8d6491861a4047cd855991ea05dd7d48","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Algorithms, Vol 12, Iss 5, p 107 (2019)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1999-4893/12/5/107/","is_oa":true,"landing_page_url":"http://dx.doi.org/10.3390/a12050107","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Algorithms","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/a12050107","is_oa":true,"landing_page_url":"https://doi.org/10.3390/a12050107","pdf_url":"https://www.mdpi.com/1999-4893/12/5/107/pdf","source":{"id":"https://openalex.org/S190629608","display_name":"Algorithms","issn_l":"1999-4893","issn":["1999-4893"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Algorithms","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G7489435571","display_name":null,"funder_award_id":"61802425","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2946691654.pdf"},"referenced_works_count":20,"referenced_works":["https://openalex.org/W1486723877","https://openalex.org/W1582398879","https://openalex.org/W1600619963","https://openalex.org/W1982911127","https://openalex.org/W1988888548","https://openalex.org/W2035241283","https://openalex.org/W2075236191","https://openalex.org/W2076014932","https://openalex.org/W2077765427","https://openalex.org/W2100946521","https://openalex.org/W2166183959","https://openalex.org/W2169336598","https://openalex.org/W2343631639","https://openalex.org/W2344216614","https://openalex.org/W2345003201","https://openalex.org/W2739859529","https://openalex.org/W2896241044","https://openalex.org/W6647684673","https://openalex.org/W6675130837","https://openalex.org/W6685012056"],"related_works":["https://openalex.org/W4237171675","https://openalex.org/W3036286480","https://openalex.org/W4287027631","https://openalex.org/W3192357901","https://openalex.org/W2387360586","https://openalex.org/W2952736415","https://openalex.org/W3209723314","https://openalex.org/W3205398323","https://openalex.org/W2883297582","https://openalex.org/W4390524233"],"abstract_inverted_index":{"With":[0],"the":[1,11,28,40,43,50,62,65,69,90],"increase":[2],"in":[3],"mobile":[4],"location":[5],"service":[6],"applications,":[7],"spatiotemporal":[8,33],"queries":[9],"over":[10,53],"trajectory":[12],"data":[13,126],"of":[14,27,31,42,46,68],"moving":[15,47],"objects":[16],"have":[17],"become":[18],"a":[19,76,94],"research":[20],"hotspot,":[21],"and":[22],"continuous":[23,44,55],"query":[24,45,56],"is":[25,73,86,101],"one":[26],"key":[29],"types":[30],"various":[32],"queries.":[34],"In":[35],"this":[36],"paper,":[37],"we":[38],"study":[39],"sub-domain":[41],"objects,":[48],"namely":[49],"pruning":[51,71,77,108],"optimization":[52],"historical":[54],"based":[57,79,98],"on":[58,80,99,124],"threshold.":[59],"Firstly,":[60],"for":[61],"problem":[63],"that":[64,105,129],"processing":[66,91],"cost":[67],"Mindist-based":[70],"strategy":[72,78],"too":[74],"large,":[75],"extended":[81],"Minimum":[82],"Bounding":[83],"Rectangle":[84],"overlap":[85],"proposed":[87,102],"to":[88,103],"optimize":[89],"overhead.":[92],"Secondly,":[93],"best-first":[95],"traversal":[96],"algorithm":[97],"E3DR-tree":[100],"ensure":[104],"an":[106],"accurate":[107],"candidate":[109],"set":[110],"can":[111],"be":[112],"obtained":[113],"with":[114],"accessing":[115],"as":[116,120],"few":[117],"index":[118],"nodes":[119],"possible.":[121],"Finally,":[122],"experiments":[123],"real":[125],"sets":[127],"prove":[128],"our":[130],"method":[131],"significantly":[132],"outperforms":[133],"other":[134],"similar":[135],"methods.":[136]},"counts_by_year":[],"updated_date":"2026-05-22T06:13:13.366637","created_date":"2025-10-10T00:00:00"}
